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Data Preview

Tail

  date total_post google_searchVolume amazon_searchVolume walmart_searchVolume client_unit_price competitor_unit_price no additives/preservatives salmon client_lbs_value
289 2017-05-27 00:00:00 500.000000 7713.000000 0.000000 0.000000 10.468299 5.999333 0 1 5127492.171894
290 2018-01-27 00:00:00 12434.000000 3542.000000 178.000000 0.000000 10.801484 5.687655 0 1 5060087.000000
291 2016-11-26 00:00:00 2378.000000 40544.000000 0.000000 0.000000 4.323914 7.987339 0 0 3639712.866197
292 2018-05-26 00:00:00 3283.000000 38589.000000 11767.000000 1139.000000 4.790466 7.714266 0 0 4441815.968357
293 2017-12-30 00:00:00 1141.000000 715.000000 0.000000 0.000000 10.757761 6.036139 0 1 4918901.000000

Pre Processing

Pre Processing - Imputations

Pre Processing - Imputations - Missing

No missing values in data

Pre Processing - Imputations - Infinitys

No Infinity values

Health Analysis

Health Plot

Missing Plot

Missing Value Summary

No Missing Values

Duplicate Columns

No duplicate variables

Outliers In Features

  N < (mean-3*std) > (mean+3*std) < (1stQ - 1.5 * IQR) > (3rdQ + 1.5 * IQR) -inf +inf
Feature              
total_post 294 0 4 0 10 0 0
google_searchVolume 294 0 2 0 1 0 0
amazon_searchVolume 294 0 2 0 61 0 0
walmart_searchVolume 294 0 7 0 63 0 0
no additives/preservatives 294 0 22 0 22 0 0

Feature Analysis

Summary Stats

Summary Stats - Numeric Variables

  Variable Name Datatype No of Unique Samples Mean Standard Deviation Min 25th percentile Median 75th percentile Max
0 amazon_searchVolume float64 119 [0.0, 532.0, 6144.0, 94.0, 182.0] 2000.901823 3962.348114 0.000000 0.000000 0.000000 538.000000 13940.567929
1 client_lbs_value float64 294 [4786439.0, 5526476.0, 4279166.56244782, 4905987.327205882, 5114674.0] 4569749.489077 879145.595723 2755973.768759 3964491.855828 4689711.088934 5220519.500000 6698859.000000
2 client_unit_price float64 294 [9.424584654694256, 10.936036173700442, 5.063071171920445, 10.833823014014182, 10.632208884707362] 7.491836 3.027214 4.210722 4.618103 6.181990 10.801067 12.398403
3 competitor_unit_price float64 294 [6.762621611699198, 5.727253718183602, 7.386886320587916, 5.675104423545838, 5.5552959511377695] 7.186329 1.129806 5.366339 6.171850 7.421210 7.929547 10.426700
4 google_searchVolume float64 276 [1700.0, 12052.0, 39684.0, 3159.0, 4323.0] 24410.400879 21563.575941 18.000000 3584.000000 16910.000000 44097.250000 90031.929217
5 total_post float64 277 [113.0, 2649.0, 1781.0, 259.0, 360.0] 1641.479657 1331.253377 0.000000 539.000000 1576.500000 2175.750000 6904.754764
6 walmart_searchVolume float64 57 [0.0, 1092.0, 703.0, 42.0, 1584.0] 242.045913 508.468948 0.000000 0.000000 0.000000 0.000000 1814.499790

Summary Stats - Non Numeric Variables

  Variable Name Datatype No of Unique Samples mean min 25% 50% 75% max Mode Mode Freq Mode Freq %
0 no additives/preservatives uint8 2 [0, 1] NaT NaT NaT NaT NaT NaT 0.000000 272.000000 92.517007
1 salmon uint8 2 [1, 0] NaT NaT NaT NaT NaT NaT 0.000000 161.000000 54.761905
2 date datetime64[ns] 184 [numpy.datetime64('2016-07-23T00:00:00.000000000'), numpy.datetime64('2018-09-29T00:00:00.000000000'), numpy.datetime64('2019-03-30T00:00:00.000000000'), numpy.datetime64('2018-04-28T00:00:00.000000000'), numpy.datetime64('2018-03-31T00:00:00.000000000')] 2017-12-13 17:42:51.428571392 2016-01-09 00:00:00 2017-01-08 18:00:00 2017-12-26 12:00:00 2018-11-15 06:00:00 2019-10-05 00:00:00 nan nan nan

Distributions

Distributions - Numeric Variables

Distributions - Numeric Variables - Amazon Searchvolume

Distributions - Numeric Variables - Client Lbs Value

Distributions - Numeric Variables - Client Unit Price

Distributions - Numeric Variables - Competitor Unit Price

Distributions - Numeric Variables - Google Searchvolume

Distributions - Numeric Variables - No Additives/preservatives

Distributions - Numeric Variables - Salmon

Distributions - Numeric Variables - Total Post

Distributions - Numeric Variables - Walmart Searchvolume

Distributions - Non Numeric Variables

Distributions - Non Numeric Variables - No Additives/preservatives

Distributions - Non Numeric Variables - Salmon

Feature Normality

Feature Interactions

Correlation Table

  Variable 1 Variable 2 Corr Coef Abs Corr Coef
0 client_lbs_value competitor_unit_price -0.807848 0.807848
1 competitor_unit_price client_lbs_value -0.807848 0.807848
2 client_lbs_value salmon 0.805645 0.805645
3 salmon client_lbs_value 0.805645 0.805645
4 client_lbs_value client_unit_price 0.752889 0.752889
5 client_unit_price client_lbs_value 0.752889 0.752889
6 client_lbs_value google_searchVolume -0.466867 0.466867
7 google_searchVolume client_lbs_value -0.466867 0.466867
8 client_lbs_value no additives/preservatives -0.455605 0.455605
9 no additives/preservatives client_lbs_value -0.455605 0.455605
10 client_lbs_value walmart_searchVolume -0.068456 0.068456
11 walmart_searchVolume client_lbs_value -0.068456 0.068456
12 amazon_searchVolume client_lbs_value -0.042987 0.042987
13 client_lbs_value amazon_searchVolume -0.042987 0.042987
14 client_lbs_value total_post -0.029345 0.029345
15 total_post client_lbs_value -0.029345 0.029345

Correlation Heatmap

Covariance Heatmap

Bivariate Plots (top 50 Correlations)

Bivariate Plots (top 50 Correlations) - Salmon Vs Client Unit Price

Bivariate Plots (top 50 Correlations) - Walmart Searchvolume Vs Amazon Searchvolume

Bivariate Plots (top 50 Correlations) - Salmon Vs Client Lbs Value

Bivariate Plots (top 50 Correlations) - Client Unit Price Vs Client Lbs Value

Bivariate Plots (top 50 Correlations) - No Additives/preservatives Vs Competitor Unit Price

Bivariate Plots (top 50 Correlations) - Walmart Searchvolume Vs Google Searchvolume

Bivariate Plots (top 50 Correlations) - Google Searchvolume Vs Amazon Searchvolume

Bivariate Plots (top 50 Correlations) - Total Post Vs Google Searchvolume

Bivariate Plots (top 50 Correlations) - Total Post Vs Amazon Searchvolume

Bivariate Plots (top 50 Correlations) - Walmart Searchvolume Vs Total Post

Bivariate Plots (top 50 Correlations) - Google Searchvolume Vs Competitor Unit Price

Bivariate Plots (top 50 Correlations) - Walmart Searchvolume Vs Competitor Unit Price

Bivariate Plots (top 50 Correlations) - Competitor Unit Price Vs Amazon Searchvolume

Bivariate Plots (top 50 Correlations) - Total Post Vs Competitor Unit Price

Bivariate Plots (top 50 Correlations) - Total Post Vs Client Lbs Value

Bivariate Plots (top 50 Correlations) - Client Lbs Value Vs Amazon Searchvolume

Bivariate Plots (top 50 Correlations) - Walmart Searchvolume Vs Client Lbs Value

Bivariate Plots (top 50 Correlations) - No Additives/preservatives Vs Client Unit Price

Bivariate Plots (top 50 Correlations) - Walmart Searchvolume Vs No Additives/preservatives

Bivariate Plots (top 50 Correlations) - No Additives/preservatives Vs Amazon Searchvolume

Bivariate Plots (top 50 Correlations) - Salmon Vs No Additives/preservatives

Bivariate Plots (top 50 Correlations) - No Additives/preservatives Vs Google Searchvolume

Bivariate Plots (top 50 Correlations) - Total Post Vs No Additives/preservatives

Bivariate Plots (top 50 Correlations) - Total Post Vs Salmon

Bivariate Plots (top 50 Correlations) - Total Post Vs Client Unit Price

Bivariate Plots (top 50 Correlations) - Client Unit Price Vs Amazon Searchvolume

Bivariate Plots (top 50 Correlations) - Walmart Searchvolume Vs Client Unit Price

Bivariate Plots (top 50 Correlations) - Salmon Vs Amazon Searchvolume

Bivariate Plots (top 50 Correlations) - Walmart Searchvolume Vs Salmon

Bivariate Plots (top 50 Correlations) - No Additives/preservatives Vs Client Lbs Value

Bivariate Plots (top 50 Correlations) - Google Searchvolume Vs Client Lbs Value

Bivariate Plots (top 50 Correlations) - Competitor Unit Price Vs Client Unit Price

Bivariate Plots (top 50 Correlations) - Salmon Vs Google Searchvolume

Bivariate Plots (top 50 Correlations) - Google Searchvolume Vs Client Unit Price

Bivariate Plots (top 50 Correlations) - Competitor Unit Price Vs Client Lbs Value

Bivariate Plots (top 50 Correlations) - Salmon Vs Competitor Unit Price

Key Drivers

Client Lbs Value

Client Lbs Value - Feature Scores - Feature Correlation

Client Lbs Value - Feature Importances - From Model

Client Lbs Value - Pca Analysis

Client Lbs Value - Pca Analysis - Pca Projection

Client Lbs Value - Pca Analysis - Correlation With Dimension 2 (y)

Client Lbs Value - Pca Analysis - Correlation With Dimension 1 (x)

Client Lbs Value - Bivariate Plots

Client Lbs Value - Bivariate Plots - Salmon

Client Lbs Value - Bivariate Plots - Amazon Searchvolume

Client Lbs Value - Bivariate Plots - Walmart Searchvolume

Client Lbs Value - Bivariate Plots - Competitor Unit Price

Client Lbs Value - Bivariate Plots - Total Post

Client Lbs Value - Bivariate Plots - Google Searchvolume

Client Lbs Value - Bivariate Plots - No Additives/preservatives

Client Lbs Value - Bivariate Plots - Client Unit Price

Client Lbs Value - Bivariate Plots - Date